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ANALISIS PERBANDINGAN MODEL KURVA PERTUMBUHAN (DUA GALUR MURNI DAN PERSILANGAN) CALON INDUK UDANG VANAME (Litopenaeus vannamei) Jacinda, Adinda Kinasih; Anang, Asep; Yustiati, Ayi
Saintek Perikanan : Indonesian Journal of Fisheries Science and Technology Vol 19, No 1 (2023): SAINTEK PERIKANAN
Publisher : Fakultas Perikanan dan Ilmu Kelautan, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijfst.19.1.8-14

Abstract

Dirjen KKP mulai memberlakukan larangan penggunaan induk asal tambak sejak bulan Mei 2019 dan mewajibkan menggunakan indukan yang berasal dari breeding program. Penelitian ini bertujuan untuk mengetahui bentuk kurva pertumbuhan, mendapatkan model matematika yang paling tepat untuk menduga dan menggambarkan pertumbuhan calon induk udang vaname dan hasil persilangannya sehingga didapat hasil calon induk udang terbaik. Adapun model yang digunakan model Richards, MMF, Gompertz, Logistik dan Von Bertalanffy. Metode penelitian yang digunakan adalah metode studi kasus yang dianalisis secara deskriptif dengan objek penelitian yaitu udang vaname Galur G Jantan, Galur G Betina, Galur R Jantan, Galur R Betina, Hybrid GR Jantan, Hybrid GR Betina, Hybrid RG Jantan dan Hybrid RG Betina. Variabel yang diamati pada objek penelitian adalah bobot badan selama 201 hari. Data dianalisis menggunakan SAS, dibuat grafik serta kurva pertumbuhan, dilihat nilai koefisien korelasi (r) dan galat baku (Se) serta nilai heterosisnya. Hasil yang diperoleh yaitu (1) bentuk kurva pertumbuhan berbentuk sigmoid, dengan titik infleksi pada minggu ke 14, (2) model matematika kurva pertumbuhan terbaik adalah model Richards dan MMF dengan nilai koefisien korelasi yang tinggi (0,997-0,999) serta galat baru (standar error) yang rendah (±0,76 hingga ±1,18), (3) heterosis efek terbaik merupakan hasil persilangan jantan Galur G dan betina Galur R dengan presentase nilai heterosis untuk karakter bobot yaitu 17,24% dan 17,58%. The Director General of KKP has started to enforce a ban on the use of broodstock from ponds since May 2019 and requires the use of broodstock from breeding programs. This study aims to determine the shape of the growth curve, obtain the most appropriate mathematical model to predict and describe the growth of prospective vannamei shrimp broodstock and the results of their crosses so that the best prospective shrimp broodstock results are obtained. The model used is the Richards, MMF, Gompertz, Logistics and Von Bertalanffy models. The research method used was the case study method which was analyzed descriptively with the research objects namely vaname shrimp Male G Line, Female G Line, Male R Line, Female R Line, Male GR Hybrid, Female GR Hybrid, Male RG Hybrid and Female RG Hybrid. The variable observed in the research object was body weight for 201 days. The data were analyzed using SAS, graphs and growth curves were made, the correlation coefficient (r) and standard error (Se) were seen and the heterosis value. The results obtained are (1) the shape of the growth curve is sigmoid, with an inflection point at week 14, (2) the best growth curve mathematical model is the Richards and MMF model with a high correlation coefficient value (0.997-0.999) and a new error (standard error) is low (±0.76 to ±1.18), (3) the best heterosis effect is the result of crosses of male G lines and R female lines with the percentage of heterosis values for character weights, namely 17.24% and 17.58%.
The effect of non-genetic factors on the body weight performance of Brahman Indonesia cattle at BPTU-HPT Sembawa Zulkarnaen, Mochammad Hafizh; Indrijani, Heni; Anang, Asep; Ramdani, Diky; Husnu, Ghoffar
Jurnal Produksi Ternak Terapan Vol 6, No 2 (2025): Volume 6 Nomor 2 Juli 2025
Publisher : Faculty of Animal Husbandry, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jptt.v6i2.64641

Abstract

Brahman Indonesia cattle are a superior beef breed developed in Indonesia to increase national productivity, but their performance is influenced by various non-genetic factors. This study aimed to analyze the effect of these factors, specifically calf sex and dam parity, on the body weight performance of Brahman Indonesia cattle at BPTU-HPT Sembawa. Data from 2014-2023, consisting of 5,213 records (2,115 birth weight, 1,672 weaning weight, and 1,426 yearling weight) from the progeny of 31 sires and 178 dams, were analyzed using the General Linear Model (GLM) and Duncan's Multiple Range Test. The results showed that both calf sex and dam parity had a very significant effect (P<0.0001) on all observed growth traits. Male calves were consistently heavier than female calves at all age stages, while dam parity exhibited a performance pattern that was lowest at the first parity and reached its peak at parities 3-6. These findings confirm the importance of correcting for non-genetic factors in selection programs to improve the accuracy of genetic evaluation for Brahman Indonesia cattle breeding stock.
PERBANDINGAN MODEL KURVA WOOD DAN ALI-SCHAEFFER TERHADAP PRODUKSI SAPI PERAH LAKTASI 1 DAN 2 Handoyo, Nynna Putri; Anang, Asep; Indrijani, Heni
Agrinimal Jurnal Ilmu Ternak dan Tanaman Vol 13 No 2 (2025): Agrinimal Jurnal Ilmu Ternak dan Tanaman
Publisher : Jurusan Peternakan Fakultas Pertanian Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/ajitt.2025.13.2.195-203

Abstract

Kurva produksi susu merupakan kurva yang dapat menggambarkan jumlah susu yang dihasilkan oleh sapi perah selama siklus laktasinya. Model kurva yang memiliki tingkat akurasi tinggi antara produksi susu aktual dan pendugaan adalah model kurva Wood dan juga model kurva Ali-Schaeffer. Penelitian ini menganalisis produksi susu di PT. Sumber Citarasa Alam selama periode laktasi pertama dan kedua serta membandingkan akurasi model kurva Wood dan model Ali-Schaeffer dalam merepresentasikan data produksi susu. Standard error (Se) dan koefisien korelasi (r) digunakan sebagai indikator akurasi dalam evaluasi. Hasil penelitian menunjukkan bahwa puncak produksi susu terjadi lebih awal pada periode laktasi kedua dibandingkan dengan periode pertama, yakni pada minggu ke-5 untuk periode kedua dan minggu ke-6 untuk periode pertama. Rata-rata produksi susu pada periode laktasi pertama lebih rendah (13,33 liter) dibandingkan dengan periode laktasi kedua (14,83 liter), setelah itu kurva produksi mengalami penurunan yang berfluktuasi hingga akhir masa laktasi. Model Ali-Schaeffer memberikan pendugaan produksi susu yang lebih akurat pada kedua periode dibandingkan dengan model kurva Wood. Selain itu, nilai Se (0,891 dan 0,955) serta nilai r (0,395 dan 0,429) menunjukkan bahwa model kurva Ali-Schaeffer memiliki korelasi yang lebih kuat dan akurasi yang lebih tinggi dalam merepresentasikan data produksi susu di PT. Sumber Citarasa Alam. ABSTRACT The milk production curve is a model that illustrates the amount of milk produced by dairy cows throughout their lactation cycle. Curve models that exhibit high accuracy between actual milk yield and estimation include the Wood curve model and the Ali-Schaeffer curve model. This study aimed to analyze the milk production of dairy cows at PT. Sumber Citarasa Alam during lactation periods 1 and 2, and to determine which equation between the Wood curve model and the Ali-Schaeffer model most accurately represented the company’s dairy production data. The models were evaluated using Standard Error (SE) and correlation coefficient (r) as accuracy indicators. The study results indicated that dairy cow milk production at PT. Sumber Citarasa Alam reached peak production faster in the second lactation period compared to the first. Peak production occurred in the fifth week for lactation period 2, whereas it occurred in the sixth week for lactation period 1. The average milk production in the first lactation period was lower, amounting to 13.33 liters, while the second lactation period reached 14.83 liters. The production curve then declined fluctuatively until the end of lactation. The Ali-Schaeffer milk production curve model demonstrated a higher estimation accuracy for actual milk production in both lactation periods compared to the Wood curve model. Furthermore, based on the obtained SE values (0.891 and 0.955) and correlation coefficients (0.395 and 0.429), the Ali-Schaeffer model exhibited high correlation and accuracy.